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August 5, 2025 · Last updated on April 20, 2026

Lead a prompt challenge to drive AI adoption

# Champions

# Driving Adoption

A proven method for running prompt challenges to drive adoption

How to run a prompt challenge

In terms of AI adoption, most organizations and teams include a mix of experience levels.

Some people are curious but haven’t tried ChatGPT yet. Others have experimented, but haven’t connected it to their real work. And some are already using ChatGPT, but mostly on their own.

A prompt challenge can be a useful resource for each group to take the next step:

For new users, it creates a clear starting point with real examples to build from.

For occasional users, it gives them a structured reason to try ChatGPT again.

For active users, it creates a way to share what’s working and learn how others are applying AI across the team.

The goal is to help people move from one-off prompting to shared, repeatable use cases grounded in familiar work.

A strong prompt challenge can:

Spark usage tied to real tasks

Surface prompts that can be reused and adapted

Build early momentum and trust in the value of AI

Create examples that later become onboarding resources, workflow guides, or team playbooks

Prompt challenges help people start. Champions help those examples stick.

How to run a high-impact prompt challenge

A prompt challenge works best when it turns scattered experimentation into reusable examples. Use the structure below to collect strong prompts tied to real work, make them easy to reuse, and scale what proves valuable.

Prompt challenges typically happen in three phases: Setup, Activation, and Scale.

Phase 1: Setup

Step 1: Define the task and structure the ask

Prompt challenges work best when they are tightly scoped. The goal is not to collect every possible idea. The goal is to surface a few strong examples of how ChatGPT is already helping people make progress on everyday work.

Start with real workflows.

Frame the challenge around tasks people already do. Some general examples include:

Getting started when they don’t know where to begin

Brainstorming talking points or messaging for a presentation

Drafting a first version of a doc, slide, summary, or plan

Synthesizing notes into themes, decisions, or next steps

Rewriting content for a specific audience or tone

Prioritizing work or clarifying what matters most in a brief

Ask people to share a prompt they used that helped them make progress faster, more clearly, or with less friction.

To make submissions reusable, use a consistent format:

Task: What were you working on?

Prompt: What did you ask ChatGPT?

Result: What did it help with? For example: speed, clarity, structure, or tone.

This structure makes it easier to review submissions, curate strong examples, and help others build on what is already working.

Step 2: Collect prompts in a format your team will actually use

Choose a collection format that fits how your team already collaborates. There is no single right tool. The best format is the one people will use and that makes strong prompts easy to find later.

Common formats include:

Message Thread/Channel: Good for visibility, quick posting, and reactions.

Submission Form or Slack Workflow: Good when you want more consistent formatting.

Shared Doc: Good if your team already works in shared documentation.

Keep the challenge window short. Three to five days is usually enough. Make it clear that contributing should take less than 10 minutes.

Prompt challenges only work when it is easy to contribute and easy to reuse what is shared. The format should lower friction and help the best examples rise to the surface.

Champion Tip: Let ChatGPT help run the challenge.

Champions often use ChatGPT to streamline setup and curation. This saves time and models the behavior you want to encourage.

Use ChatGPT to:

Draft your Slack announcement or weekly update blurb

Generate seed examples tailored to your team

Reformat raw entries into a consistent structure

Cluster submissions by theme, such as summarizing, rewriting, or planning

Draft your follow-up post or wrap-up recap

This keeps your time focused on the highest-value work: curating what is useful and helping others reuse it.

Phase 2: Activation

Step 3: Surface and reinforce what matters

Once your team has submitted prompts, your role shifts from collecting to curating. The challenge creates momentum. What you highlight, how you share it, and when you bring it back into real work is what turns that momentum into recurring use.

Look for prompts that:

Support frequent or high-leverage tasks

Produce a clear result, such as faster work, better output, or clearer thinking

Can be reused across functions or adapted easily

Have already been referenced, reacted to, or reposted

This first round does not need to be comprehensive. The goal is to spotlight what is working and make it easier for people to try again.

For each prompt you share, include:

A short label for the task

A one-line summary of what the prompt helped with

A note on when to use it

A copyable prompt or link to the full version

Example:

Executive Summary Prompt

Condenses raw notes into a three-bullet stakeholder update.

Used last week in the QBR deck.

Use when preparing board slides, weekly updates, or leadership briefs.

Prompt: [link]

The best examples are easy to scan, easy to copy, and clearly tied to real work.

Step 4: Share examples where people are already working

Prompt examples are more likely to be reused when they show up in context.

Champions typically share strong examples through:

A short highlight post at the end of the challenge

Group prompts by theme or task, such as summarizing, rewriting, or planning. Add a short note on why each one worked.

Replies in context when similar work comes up

For example: “We used this prompt to draft the leadership summary last week. It helped clarify next steps quickly.”

Quick demos in meetings or async updates

Walk through one prompt using real content. Show what you gave ChatGPT, what came back, and what you kept or changed.

A lightweight prompt hub or shared doc

Curate top prompts by task type in a Notion page, Confluence section, or shared doc. Keep it short and current.

Tailor prompts to teams or functions

If you support multiple departments, adapt examples so they match each team’s language and priorities. Start with a shared structure, then adjust the focus.

Example prompt:

“Summarize this input into three clear bullets: outcomes, risks, and next steps.”

For Product: “Emphasize roadmap impact and dependencies.”

For Sales: “Focus on customer impact and commercial risk.”

For Comms: “Frame messaging for internal audiences.”

Tailoring prompts improves credibility and helps people see where AI fits into their specific workflow.

Watch for signs of traction

You may not be able to track prompt usage directly, but you can still observe where adoption is starting to take hold.

Look for:

Prompts reposted in threads or reused in shared docs

Teammates adapting prompts for new contexts

Mentions in meetings or planning documents

A prompt showing up in live work without being prompted

Emoji reactions, “used this” comments, or quick shoutouts

You can also look at team-level usage metrics. Many Champions see a lift in ChatGPT activity after a well-run prompt challenge.

The goal is not perfect measurement. The goal is to notice where real value is building.

Step 5: Close the loop

When prompts are reused or adapted, make that visible. Recognition builds credibility and shows that the challenge created something useful.

Ways to close the loop:

Call out top entries in a team update

Post a “Prompt of the Week” with a short reuse story

Let contributors know where their prompt was used

Share examples of how prompts were adapted for another team or workflow

For example: “This helped Ops prep the QBR last week.”

Closing the loop reinforces that sharing prompts helps the whole team move faster.

Phase 3: Scale

Step 6: Turn repeated successes into systems

As usage grows, look for prompts that are becoming more than one-off examples.

A prompt may be ready to scale when it is:

Reused with minimal changes

Adapted by multiple teammates or functions

Built around a clear pattern in how people structure inputs

Consistently improving speed, quality, or clarity

These are signs that your team has found a reliable approach. At that point, you can move from individual examples to shared systems.

Ways to scale include:

Build a lightweight prompt hub organized by task or function

Turn a high-use prompt into a team template or doc starter

Include top prompts in onboarding or a starter set

Build a team-specific custom GPT that wraps proven prompts in a guided interface

Champion Tip: If a prompt has been reused multiple times across teammates or functions, and it consistently improves speed or quality, it may be a good candidate for a custom GPT. A custom GPT can turn the strongest version of the prompt into a more guided, repeatable experience.

Key Takeaway

A prompt challenge can be an incredibly effective way to help teams start using ChatGPT in ways that feel relevant and useful. It lowers hesitation, surfaces early wins, and shows how AI fits into everyday work.

A Champion's role is most critical after the challenge, when the real shift happens: when prompts are reused, adapted, and built into how the team operates. That is how AI becomes part of the team's way of working.

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Lead a prompt challenge to drive AI adoption

A proven method for running prompt challenges to drive adoption

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